Cover image for TORUS 3 -- Toward an open resource using services : cloud computing for environmental data
Title:
TORUS 3 -- Toward an open resource using services : cloud computing for environmental data
Author:
Laffly, Dominique.
ISBN:
9781119720522

9781119720508
Publication Information:
London : ISTE, Ltd. ; Hoboken, NJ : Wiley, 2020.
Physical Description:
1 online resource (265 pages)
Series:
Computer engineering series

Computer engineering series (London, England)
General Note:
4.5.2. Modeling air quality in the Bangkok Metropolitan Region
Contents:
Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Preface: Why TORUS? Toward an Open Resource Using Services, or How to Bring Environmental Science Closer to Cloud Computing -- Structure of the book -- 1. Introduction to Environmental Management and Services -- 1.1. Introduction -- 1.2. Environmental components -- 1.2.1. Lithosphere -- 1.2.2. Atmosphere -- 1.2.3. Hydrosphere -- 1.2.4. Biosphere -- 1.3. Environmental pollution -- 1.3.1. Air pollution -- 1.3.2. Water pollution -- 1.3.3. Soil pollution -- 1.3.4. Biological pollution -- 1.4. Environmental quality management

1.4.1. Air quality management: technical tools and data management -- 1.4.2. Water quality management -- 1.4.3. Biosphere reservation and management -- 1.5. Data services for the environment -- 1.6. References -- PART: Environmental Case Studies -- 2. Air Quality Monitoring with Focus on Wireless Sensor Application and Data Management -- 2.1. Introduction -- 2.2. Development of air pollution monitoring techniques -- 2.2.1. Conventional air pollution monitoring -- 2.2.2. Sensing technology for air monitoring -- 2.3. Wireless sensor network for air monitoring

2.3.1. Case studies of application of wireless sensors for air quality monitoring -- 2.3.2. AIT case study 1 -- 2.3.3. AIT case study 2 -- 2.3.4. Influencing factors of low-cost sensor performance in air pollution monitoring -- 2.4. Summary: toward application of cloud computing for air quality monitoring data management -- 2.5. References -- 3. Emission Inventories for Air Pollutants and Greenhouse Gases with Emphasis on Data Management in the Cloud -- 3.1. Introduction -- 3.2. Methodology for development of EI database -- 3.2.1. Framework of EI development -- 3.2.2. Calculation of EI

3.2.3. Sources of data -- 3.3. Case studies -- 3.3.1. Southeast Asia (SEA) -- 3.3.2. Vietnam inland domain -- 3.3.3. Bangkok Metropolitan Region, Thailand -- 3.3.4. Forest fire emissions from Nakhon Si Thammarat, Thailand -- 3.3.5. Phnom Penh (PNH), Cambodia -- 3.4. Summary and conclusion -- 3.5. References -- 4. Atmospheric Modeling with Focus on Management of Input/Output Data and Potential of Cloud Computing Applications -- 4.1. Introduction -- 4.1.1. Atmospheric modeling -- 4.1.2. Roles of modeling in air quality management -- 4.1.3. Existing modeling systems

4.2. Model architecture of chemistry transport model -- 4.2.1. Conceptual framework and structure -- 4.2.2. Data flow and processing -- 4.3. Output data processing -- 4.3.1. Output data processing -- 4.3.2. Model performance evaluation -- 4.4. Potential applications of cloud computing in atmospheric modeling -- 4.4.1. Current status of cloud computing applications in atmospheric modeling -- 4.4.2. Potential applications of cloud computing in air quality modeling -- 4.5. Case studies of air pollution modeling in Southeast Asia -- 4.5.1. Modeling air quality in Vietnam
Abstract:
This book, presented in three volumes, examines {u0093}environmental{u0094} disciplines in relation to major players in contemporary science: Big Data, artificial intelligence and cloud computing. Today, there is a real sense of urgency regarding the evolution of computer technology, the ever-increasing volume of data, threats to our climate and the sustainable development of our planet. As such, we need to reduce technology just as much as we need to bridge the global socio-economic gap between the North and South; between universal free access to data (open data) and free software (open source). In this book, we pay particular attention to certain environmental subjects, in order to enrich our understanding of cloud computing. These subjects are: erosion; urban air pollution and atmospheric pollution in Southeast Asia; melting permafrost (causing the accelerated release of soil organic carbon in the atmosphere); alert systems of environmental hazards (such as forest fires, prospective modeling of socio-spatial practices and land use); and web fountains of geographical data. Finally, this book asks the question: in order to find a pattern in the data, how do we move from a traditional computing model-based world to pure mathematical research? After thorough examination of this topic, we conclude that this goal is both transdisciplinary and achievable.
Local Note:
John Wiley and Sons
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